Data Architect I - AI ML Architect

Role description Job Description AI/ML Architect (Manufacturing Domain) Experience: 8+ Years Location: Any UST Location Employment Type: Full-Time Role Overview We are looking for an experienced AI/ML Architect to design and implement end-to-end AI solutions for the manufacturing industry. The ideal candidate will have expertise in AI/ML, Industrial IoT (IIoT), cloud and edge computing, and data engineering to build scalable solutions for predictive maintenance, quality inspection, supply chain optimization, and smart manufacturing initiatives. Key Responsibilities Design and architect end-to-end AI/ML solutions for manufacturing use cases such as predictive maintenance, quality inspection, and production optimization. Build scalable data pipelines for processing high-frequency industrial data from PLC, SCADA, ERP, and IoT systems. Develop and deploy machine learning models on edge devices and cloud platforms to support real-time decision-making. Design and implement computer vision solutions for automated optical inspection (AOI) and defect detection. Architect Digital Twin solutions to simulate manufacturing processes and optimize production scenarios. Establish MLOps practices, including CI/CD pipelines for model deployment, monitoring, retraining, and lifecycle management. Collaborate with data engineers, data scientists, manufacturing teams, and business stakeholders to deliver AI-driven solutions. Ensure system scalability, reliability, security, and compliance with manufacturing standards. Evaluate emerging AI technologies and recommend innovative solutions for industrial automation. Required Skills 8+ years of experience in Software Architecture, with at least 4 years focused on AI/ML solutions. Strong experience with PyTorch, TensorFlow, and Scikit-learn. Hands-on experience with Apache Spark and large-scale data processing. Strong understanding of Industrial IoT (IIoT) protocols such as MQTT, OPC-UA, and Modbus. Experience with Azure IoT Edge, AWS IoT Greengrass, or similar edge computing platforms. Knowledge of NVIDIA Jetson or other edge AI hardware. Experience with data engineering technologies such as Kafka, Snowflake, and Time-Series Databases (e.g., InfluxDB). Strong understanding of MLOps, model deployment, monitoring, and CI/CD pipelines. Experience with cloud-native AI architectures and distributed systems. Strong analytical, problem-solving, and communication skills. Good to Have Experience with Digital Twins and industrial simulation platforms. Knowledge of Lean Manufacturing and Six Sigma methodologies. Familiarity with manufacturing cybersecurity and ISO standards. Experience working in Industry 4.0 or Smart Factory initiatives. Preferred Qualifications Master's or PhD in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field. Cloud certifications (AWS, Azure) or AI/ML certifications are an added advantage. Primary Skills: AI/ML Architecture, PyTorch, TensorFlow, Spark, MQTT, AWS IoT, Azure IoT Edge, IoT Edge, Kafka, Snowflake, Industrial IoT, MLOps, Computer Vision, Digital Twins. Skills spark,pytorch,mqtt,iot edge,aws iot, About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the worlds best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients organizations. With over 30,000 employees in 30 countries, UST builds for boundless impacttouching billions of lives in the process. .